Konferenzbeitrag
Fundamentals of Real-Time Data Processing Architectures Lambda and Kappa
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Text/Conference Paper
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Datum
2018
Autor:innen
Zeitschriftentitel
ISSN der Zeitschrift
Bandtitel
Quelle
SKILL 2018 - Studierendenkonferenz Informatik
Multimedia und Datenverarbeitung
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
The amount of data and the importance of simple, scalable and fault tolerant architectures for processing the data keeps increasing. Big Data being a highly influential topic in numerous businesses has evolved a comprehensive interest in this data. The Lambda as well as the Kappa Architecture represent state-of-the-art real-time data processing architectures for coping with massive data streams. This paper investigates and compares both architectures with respect to their capabilities and implementation. Moreover, a case study is conducted in order to gain more detailed insights concerning their strengths and weaknesses.